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Dr. Ahmed Temtam

Dr. Ahmed Temtam, Assistant Professor
Office: RTC 410C  
Email: atemtam@nsu.edu
Phone: 757-823-8526

Brief Biography
Dr. Ahmed Temtam received his Ph.D. in Electrical and Computer Engineering from Old Dominion University, Virginia. He also holds M.Sc. in Electronics Engineering from Bradford University, England, and a Postgraduate Diploma in Microelectronic Systems from the University of Liverpool, England. Following his doctoral studies, Dr. Temtam served as an Adjunct Faculty Member in the Electronics Engineering Technology Department at ECPI University, Newport News and Virginia Beach, Virginia. He also worked as a Postdoctoral Research Fellow at the Research Foundation at Old Dominion University, where he contributed to federally funded interdisciplinary research projects.

Dr. Temtam’s research interests span several core areas of Electrical and Computer Engineering, including digital and wireless communication systems, advanced signal processing, spectrum sensing, and cognitive radio networks, with a strong emphasis on Artificial Intelligence and machine learning. His work also includes biomedical image analysis and image processing, integrating signal processing and AI techniques to develop impactful solutions for medical imaging and healthcare applications.

Detailed CV of Dr. Temtam

Research Interests

  • Electrical and Computer Engineering domains
  • Communication Systems
  • Machine Learning (AI)
  • Biomedical Image Analysis

Recent Publications

  • Temtam, Ahmed, Megan A. Witherow, Liangsuo Ma, M. Shibly Sadique, F. Gerard Moeller, and Khan M. Iftekharuddin. "Functional brain network identification in opioid use disorder using machine learning analysis of resting-state fMRI BOLD signals." Computers in Biology and Medicine 196 (2025): 110946.
  • Farzana, W., A. Temtam, B. Humud-Arboleda, L. Ma, M. Bean, F. Gerard Moeller, and K. M. Iftekharuddin. "Obesity prediction from structural MRI using conformal deep learning with uncertainty quantification." In Medical Imaging 2025: Computer-Aided Diagnosis, vol. 13407, pp. 718-727. SPIE, 2025.
  • Temtam, Ahmed, Abdraouf Abusoua, Khaled Y. Benyounis, and Abdalmonem Tamtam. "New developments in wireless sensor networks from real world to system integration. alternative hardware approaches."’ Elsevier’ (2024): 216-228.
  • Sadique, Md Shibly, Walia Farzana, A. Temtam, E. Lappinen, Arastoo Vossough, and Khan M. Iftekharuddin. "Brain tumor recurrence vs. radiation necrosis classification and patient survivability prediction." IEEE journal of biomedical and health informatics 28, no. 10 (2024): 5685-5695.
  • Temtam, A., Md Shibly Sadique, Md Monibor Rahman, Walia Farzana, and Khan M. Iftekharuddin. "Pediatric brain tumor segmentation using multiresolution fractal deep neural network." In International Challenge on Cross-Modality Domain Adaptation for Medical Image Segmentation, pp. 332-340. Cham: Springer Nature Switzerland, 2023.